Peoria Rivermen

GP: 21 | W: 13 | L: 6 | OTL: 2 | P: 28
GF: 74 | GA: 58 | PP%: 24.36% | PK%: 73.97%
DG: Stéphane Paquette | Morale : 58 | Moyenne d'Équipe : N/A
Prochain matchs #393 vs CCCP Red Army
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire Moyen
1Mason Appleton (A)XX97.00754078798683807871777568706869706300242950,000$
2Chase De Leo (R)X100.00643586836980787872767565726464706300252850,000$
3David Booth (C)XX98.00774086718276707674757663779999706300361900,000$
4Blake Speers (R)XX100.00724077777782707573747470686565703600233800,000$
5Dennis Yan (R)X100.00764277778079767765757564706563705600233800,000$
6Jens Lööke (R)XX98.00663587777782827565747367706765706300233750,000$
7Oskar Steen (R) (A)X100.00774573807783837871767467706563706300223800,000$
8Tye Felhaber (R)XX100.00734075767781837471747365666563706300223800,000$
9Liam ReddoxXXX100.00754082757070717173737174729599706300341800,000$
10Antoine RousselX100.008650757481777871747373727294937053003111,000,000$
11Jordan SzwarzX98.006940847876787276657876657782837063002922,000,000$
12Scott WilsonXX100.006230917871777477737777677271727057002811,400,000$
13Ludwig BystromX98.00664080777382837550756182647070706300261750,000$
14Patrick McNallyX100.00794083757976707150735782586764706300291950,000$
15Niklas Hansson (R)X98.00693078807881827650765981607061706300251850,000$
16Jack HillenX100.00744874787576767550746582719699704600341975,000$
17Kevin KleinX100.007845797476868672507456846299997036003621,100,000$
18Bernhard EbnerX98.00784473777679757650786081688279706300302850,000$
19Jacob Larsson (R)X98.008443748080828176507863816670697060002341,850,000$
Rayé
1Adam BurishXXX100.00724572677272727074717272709999701900372950,000$
2Austin Lemieux (R)X100.00754577727880807265727165686060705800241650,000$
3Alex Dostie (R)X100.00572889786977737471727165715656705800231900,000$
4Andy WelinskiX83.967638847780797677507862826067677050002711,000,000$
MOYENNE D'ÉQUIPE98.5273408077767977756375697268757570560
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Marcus Hogberg100.0086868692878888888786867068704000
2Miroslav Svoboda (R)100.0084838387858585848482826565706300
3Andrey Makarov98.0088818385878786868685865960706300
Rayé
MOYENNE D'ÉQUIPE99.338683848886878686868485656470550
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Craig Berube93889085808070CAN5321,500,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Mason AppletonPeoria Rivermen (STL)C/RW2151318128025345316399.43%242120.050778570002530046.08%20400000.8600000023
2Chase De LeoPeoria Rivermen (STL)C21991872093555154416.36%335316.8114510640003352248.95%38200001.0200000311
3Ludwig BystromPeoria Rivermen (STL)D2151217814025273952612.82%3644020.964152052000040110.00%000000.7700000130
4Niklas HanssonPeoria Rivermen (STL)D2131316522024242761711.11%2543420.671671758101134200.00%000000.7400000100
5Andy WelinskiPeoria Rivermen (STL)D18214166120821326126.25%1934419.152461644011031110.00%000000.9300000120
6Jordan SzwarzPeoria Rivermen (STL)RW215914-12011154896010.42%241719.901459600000431048.39%3100000.6701000001
7David BoothPeoria Rivermen (STL)LW/RW2111213580241247152523.40%138818.5030313600000410056.63%8300010.6701000101
8Bernhard EbnerPeoria Rivermen (STL)D21310135120231322132313.64%2231715.142571343000044100.00%000000.8200000100
9Dennis YanPeoria Rivermen (STL)LW15551056014102861117.86%116911.28112210000001036.36%2200001.1800000002
10Oskar SteenPeoria Rivermen (STL)C214610610026344816308.33%532715.60000115000001048.91%41100000.6101000200
11Jacob LarssonPeoria Rivermen (STL)D19281051404632285157.14%3042722.520001541000044000.00%000000.4700000000
12Jens LöökePeoria Rivermen (STL)LW/RW2134710010175213285.77%033015.721121250000000151.43%3500000.4200000010
13Patrick McNallyPeoria Rivermen (STL)D212463402012142814.29%2229013.840000200008100.00%000000.4100000101
14Jack HillenPeoria Rivermen (STL)D1515631202110991311.11%1021514.33000314000025010.00%000000.5600000011
15Liam ReddoxPeoria Rivermen (STL)C/LW/RW2142604023253552311.43%022710.8121314560000191050.79%18900000.5300000021
16Scott WilsonPeoria Rivermen (STL)C/LW19246100123319286.45%126614.00000010000111048.70%30800000.4500000101
17Tye FelhaberPeoria Rivermen (STL)C/LW213253202192031615.00%324111.51000000001170047.62%6300000.4100000100
18Kevin KleinPeoria Rivermen (STL)D15145-160231395711.11%1626217.5300028000030000.00%000000.3800000010
19Austin LemieuxPeoria Rivermen (STL)RW1713441004612258.33%01257.4000001000000075.00%800000.6400000000
20Blake SpeersPeoria Rivermen (STL)C/RW132130401313135815.38%213910.75112413000080041.25%8000000.4300000000
21Alex DostiePeoria Rivermen (STL)C1712350011016486.25%11046.1700000000000047.93%12100000.5700000000
22Antoine RousselPeoria Rivermen (STL)LW13112260276216104.76%117513.4900011000000062.50%1600000.2300000001
23Adam BurishPeoria Rivermen (STL)C/LW/RW3000-100335120.00%03210.7900000000010053.49%4300000.0000000000
Stats d'équipe Total ou en Moyenne4167513320883158040240466417645811.30%202645415.52193554160661112749113648.90%199600010.6403000131313
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Andrey MakarovPeoria Rivermen (STL)148420.9202.5584800364510000.5002145221
2Miroslav SvobodaPeoria Rivermen (STL)43100.9162.5024000101190100.0000416000
3Marcus HogbergPeoria Rivermen (STL)32100.8913.6917900111010000.000030000
Stats d'équipe Total ou en Moyenne2113620.9152.70126700576710100.50022121221


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantSalaire MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Adam BurishPeoria Rivermen (STL)C/LW/RW371982-01-22 18:29:38No190 Lbs6 ft0NoNoNo2Pro & Farm950,000$697,340$950,000$697,340$0$0$No950,000$
Alex DostiePeoria Rivermen (STL)C231996-01-22 05:17:34Yes174 Lbs5 ft10NoNoNo1Pro & Farm900,000$660,638$900,000$660,638$0$0$No
Andrey MakarovPeoria Rivermen (STL)G271992-01-22 05:12:13No194 Lbs6 ft2NoNoNo1Pro & Farm950,000$697,340$950,000$697,340$0$0$No
Andy Welinski (Sur la Masse Salariale)Peoria Rivermen (STL)D271992-01-22 09:27:48No205 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$734,042$1,000,000$734,042$0$0$Yes
Antoine RousselPeoria Rivermen (STL)LW311988-01-22 03:23:14No192 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$734,042$1,000,000$734,042$0$0$No
Austin LemieuxPeoria Rivermen (STL)RW241995-01-02 04:44:11Yes183 Lbs6 ft3NoNoNo1Pro & Farm650,000$477,127$650,000$477,127$0$0$No
Bernhard EbnerPeoria Rivermen (STL)D301989-01-22 07:52:58No187 Lbs6 ft0NoNoNo2Pro & Farm850,000$623,936$850,000$623,936$0$0$No850,000$
Blake SpeersPeoria Rivermen (STL)C/RW231996-01-02 04:49:04Yes185 Lbs5 ft11NoNoNo3Pro & Farm800,000$587,234$800,000$587,234$0$0$No800,000$800,000$
Chase De LeoPeoria Rivermen (STL)C251994-01-22 04:13:19Yes179 Lbs5 ft9NoNoNo2Pro & Farm850,000$623,936$850,000$623,936$0$0$No850,000$
David BoothPeoria Rivermen (STL)LW/RW361983-01-22 00:29:38No216 Lbs6 ft1NoNoNo1Pro & Farm900,000$660,638$900,000$660,638$0$0$No
Dennis YanPeoria Rivermen (STL)LW231996-01-02 04:54:56Yes192 Lbs6 ft2NoNoNo3Pro & Farm800,000$587,234$800,000$587,234$0$0$No800,000$800,000$
Jack HillenPeoria Rivermen (STL)D341985-01-22 12:29:38No190 Lbs5 ft10NoNoNo1Pro & Farm975,000$715,691$975,000$715,691$0$0$No
Jacob LarssonPeoria Rivermen (STL)D231996-01-22 04:24:57Yes190 Lbs6 ft2NoNoNo4Pro & Farm1,850,000$1,357,978$1,850,000$1,357,978$0$0$No1,850,000$1,850,000$1,850,000$
Jens LöökePeoria Rivermen (STL)LW/RW231996-01-02 05:01:44Yes183 Lbs6 ft0NoNoNo3Pro & Farm750,000$550,531$750,000$550,531$0$0$No750,000$750,000$
Jordan SzwarzPeoria Rivermen (STL)RW291990-01-22 14:13:24No192 Lbs6 ft0NoNoNo2Pro & Farm2,000,000$1,468,085$2,000,000$1,468,085$0$0$No2,000,000$
Kevin KleinPeoria Rivermen (STL)D361983-01-22 00:29:38No201 Lbs6 ft1NoNoNo2Pro & Farm1,100,000$807,446$1,100,000$807,446$0$0$No1,100,000$
Liam ReddoxPeoria Rivermen (STL)C/LW/RW341985-01-22 12:29:38No178 Lbs5 ft11NoNoNo1Pro & Farm800,000$587,234$800,000$587,234$0$0$No
Ludwig BystromPeoria Rivermen (STL)D261993-01-02 05:25:35No174 Lbs6 ft0NoNoNo1Pro & Farm750,000$550,531$750,000$550,531$0$0$No
Marcus HogbergPeoria Rivermen (STL)G261993-01-02 05:30:46No209 Lbs6 ft5NoNoNo1Pro & Farm1,000,000$734,042$1,000,000$734,042$0$0$No
Mason AppletonPeoria Rivermen (STL)C/RW241995-01-22 03:57:22No201 Lbs6 ft2NoNoNo2Pro & Farm950,000$697,340$950,000$697,340$0$0$No950,000$
Miroslav SvobodaPeoria Rivermen (STL)G251994-01-02 05:41:38Yes192 Lbs6 ft3NoNoNo1Pro & Farm750,000$550,531$750,000$550,531$0$0$No
Niklas HanssonPeoria Rivermen (STL)D251994-01-02 05:49:09Yes181 Lbs6 ft1NoNoNo1Pro & Farm850,000$623,936$850,000$623,936$0$0$No
Oskar SteenPeoria Rivermen (STL)C221997-01-02 05:45:22Yes187 Lbs5 ft9NoNoNo3Pro & Farm800,000$587,234$800,000$587,234$0$0$No800,000$800,000$
Patrick McNallyPeoria Rivermen (STL)D291990-01-22 04:11:20No181 Lbs6 ft2NoNoNo1Pro & Farm950,000$697,340$950,000$697,340$0$0$No
Scott WilsonPeoria Rivermen (STL)C/LW281991-01-22 07:42:02No183 Lbs5 ft11NoNoNo1Pro & Farm1,400,000$1,027,659$1,400,000$1,027,659$0$0$No
Tye FelhaberPeoria Rivermen (STL)C/LW221997-01-02 05:53:06Yes190 Lbs6 ft0NoNoNo3Pro & Farm800,000$587,234$800,000$587,234$0$0$No800,000$800,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2627.38190 Lbs6 ft01.73975,962$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1David BoothOskar SteenJordan Szwarz27023
2Antoine RousselScott WilsonJens Lööke27023
3Dennis YanLiam ReddoxMason Appleton23023
4Tye FelhaberChase De LeoMason Appleton23014
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ludwig BystromNiklas Hansson34023
2Bernhard EbnerKevin Klein31023
3Patrick McNallyJacob Larsson28023
4Jack HillenJacob Larsson7023
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1David BoothMason AppletonJordan Szwarz51005
2Liam ReddoxChase De LeoJens Lööke49005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ludwig BystromNiklas Hansson54005
2Bernhard EbnerJacob Larsson46005
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Mason AppletonJordan Szwarz53050
2David BoothChase De Leo47050
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ludwig BystromJacob Larsson55050
2Bernhard EbnerNiklas Hansson45050
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Mason Appleton52050Patrick McNallyJacob Larsson56050
2Jordan Szwarz48050Bernhard EbnerNiklas Hansson44050
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Scott WilsonJordan Szwarz54023
2David BoothChase De Leo46023
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Niklas HanssonJacob Larsson53023
2Bernhard EbnerLudwig Bystrom47032
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Scott WilsonMason AppletonJordan SzwarzBernhard EbnerJacob Larsson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
David BoothMason AppletonJordan SzwarzBernhard EbnerJacob Larsson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Dennis Yan, Mason Appleton, Tye FelhaberDennis Yan, Antoine RousselTye Felhaber
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jack Hillen, Niklas Hansson, Patrick McNallyLudwig BystromNiklas Hansson, Patrick McNally
Tirs de Pénalité
Mason Appleton, Jordan Szwarz, David Booth, Chase De Leo, Oskar Steen
Gardien
#1 : Andrey Makarov, #2 : Miroslav Svoboda, #3 : Marcus Hogberg
Lignes d'Attaque Perso. en Prol.
Mason Appleton, Dennis Yan, David Booth, Chase De Leo, Oskar Steen, Liam Reddox, Liam Reddox, Jens Lööke, Antoine Roussel, Tye Felhaber, Jordan Szwarz
Lignes de Défense Perso. en Prol.
Niklas Hansson, Jacob Larsson, Bernhard Ebner, Patrick McNally, Ludwig Bystrom


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Adirondack Phantoms22000000624220000006240000000000041.0006111700212824168234195211858208378225.00%4175.00%037072650.96%37878348.28%17234450.00%488337512158267133
2Binghamton Senators11000000532110000005320000000000021.00059140021282414023419521182876155360.00%3166.67%037072650.96%37878348.28%17234450.00%488337512158267133
3Bridgeport Sound Tigers11000000523000000000001100000052321.00059140021282413723419521182766238225.00%220.00%037072650.96%37878348.28%17234450.00%488337512158267133
4Chicago Wolves2110000058-31010000015-41100000043120.5005914002128241572341952118591626436233.33%10550.00%037072650.96%37878348.28%17234450.00%488337512158267133
5Gatineau Olympiques220000001165110000005231100000064241.000112132002128241772341952118691918358225.00%9277.78%037072650.96%37878348.28%17234450.00%488337512158267133
6Grand Rapids Griffins1010000034-11010000034-10000000000000.0003580021282413623419521183591216400.00%6266.67%037072650.96%37878348.28%17234450.00%488337512158267133
7Houston Aeros11000000523000000000001100000052321.00058130021282412923419521182382165240.00%10100.00%037072650.96%37878348.28%17234450.00%488337512158267133
8Las Vegas Gamblers2020000068-21010000023-11010000045-100.000612180021282417223419521186516163411218.18%7271.43%037072650.96%37878348.28%17234450.00%488337512158267133
9Laval Chiefs1010000002-21010000002-20000000000000.0000000021282412023419521183791015000.00%50100.00%037072650.96%37878348.28%17234450.00%488337512158267133
10Milwaukee Admirals1010000013-21010000013-20000000000000.000123002128241232341952118325621400.00%2150.00%037072650.96%37878348.28%17234450.00%488337512158267133
11Norfolk Admirals1000000112-1000000000001000000112-110.500112002128241172341952118367815300.00%40100.00%037072650.96%37878348.28%17234450.00%488337512158267133
12Oklahoma City Barons11000000523110000005230000000000021.00051015002128241352341952118321412234125.00%6183.33%037072650.96%37878348.28%17234450.00%488337512158267133
13Rochester Americans10001000321100010003210000000000021.000369002128241242341952118287421000.00%2150.00%037072650.96%37878348.28%17234450.00%488337512158267133
14Rouyn-Noranda Huskies11000000615110000006150000000000021.0006101600212824123234195211842126232150.00%30100.00%037072650.96%37878348.28%17234450.00%488337512158267133
15San Antonio Rampage11000000321000000000001100000032121.00035800212824127234195211841121017200.00%50100.00%137072650.96%37878348.28%17234450.00%488337512158267133
16Springfield Falcons1000010045-1000000000001000010045-110.500471100212824124234195211827114214125.00%20100.00%037072650.96%37878348.28%17234450.00%488337512158267133
Total2112601101745816126501000372989610010137298280.667741332070021282416452341952118671185160395781924.36%731973.97%137072650.96%37878348.28%17234450.00%488337512158267133
17Trois-Rivières Draveurs11000000541000000000001100000054121.00058130021282413623419521183276204125.00%2150.00%037072650.96%37878348.28%17234450.00%488337512158267133
_Since Last GM Reset2112601101745816126501000372989610010137298280.667741332070021282416452341952118671185160395781924.36%731973.97%137072650.96%37878348.28%17234450.00%488337512158267133
_Vs Conference1366001004641583500000232215310010023194130.50046841300021282413962341952118421119112247481122.92%511374.51%037072650.96%37878348.28%17234450.00%488337512158267133
_Vs Division502001001517-230200000610-42000010097210.100152742002128241160234195211815538368724416.67%16568.75%037072650.96%37878348.28%17234450.00%488337512158267133

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2128W27413320764567118516039500
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
2112611017458
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
126510003729
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
96101013729
Derniers 10 Matchs
WLOTWOTL SOWSOL
820000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
781924.36%731973.97%1
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
23419521182128241
Mises en Jeu
Gagnées en Zone OffensiveTotal en Zone Offensive% Gagnées en Zone Offensive Gagnées en Zone DéfensiveTotal en Zone Défensive% Gagnées en Zone DéfensiveGagnées en Zone NeutreTotal en Zone Neutre% Gagnées en Zone Neutre
37072650.96%37878348.28%17234450.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
488337512158267133


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
2 - 2020-10-2910Oklahoma City Barons2Peoria Rivermen5WSommaire du Match
3 - 2020-10-3022Peoria Rivermen4Las Vegas Gamblers5LSommaire du Match
6 - 2020-11-0245Rochester Americans2Peoria Rivermen3WXSommaire du Match
9 - 2020-11-0570Laval Chiefs2Peoria Rivermen0LSommaire du Match
11 - 2020-11-0787Peoria Rivermen1Norfolk Admirals2LXXSommaire du Match
13 - 2020-11-0999Milwaukee Admirals3Peoria Rivermen1LSommaire du Match
15 - 2020-11-11116Peoria Rivermen4Springfield Falcons5LXSommaire du Match
17 - 2020-11-13130Peoria Rivermen5Houston Aeros2WSommaire du Match
18 - 2020-11-14140Peoria Rivermen4Chicago Wolves3WSommaire du Match
21 - 2020-11-17157Gatineau Olympiques2Peoria Rivermen5WSommaire du Match
24 - 2020-11-20181Grand Rapids Griffins4Peoria Rivermen3LSommaire du Match
27 - 2020-11-23204Binghamton Senators3Peoria Rivermen5WSommaire du Match
32 - 2020-11-28233Adirondack Phantoms1Peoria Rivermen3WSommaire du Match
34 - 2020-11-30248Peoria Rivermen3San Antonio Rampage2WSommaire du Match
36 - 2020-12-02267Rouyn-Noranda Huskies1Peoria Rivermen6WSommaire du Match
39 - 2020-12-05284Peoria Rivermen5Trois-Rivières Draveurs4WSommaire du Match
41 - 2020-12-07301Peoria Rivermen6Gatineau Olympiques4WSommaire du Match
42 - 2020-12-08307Las Vegas Gamblers3Peoria Rivermen2LSommaire du Match
45 - 2020-12-11335Chicago Wolves5Peoria Rivermen1LSommaire du Match
49 - 2020-12-15354Peoria Rivermen5Bridgeport Sound Tigers2WSommaire du Match
50 - 2020-12-16368Adirondack Phantoms1Peoria Rivermen3WSommaire du Match
54 - 2020-12-20393Peoria Rivermen-CCCP Red Army-
55 - 2020-12-21401Binghamton Senators-Peoria Rivermen-
58 - 2020-12-24425Peoria Rivermen-Houston Aeros-
59 - 2020-12-25434Lake Erie Monsters-Peoria Rivermen-
64 - 2020-12-30465Peoria Rivermen-Rockford IceHogs-
65 - 2020-12-31469Grand Rapids Griffins-Peoria Rivermen-
69 - 2021-01-04498Milwaukee Admirals-Peoria Rivermen-
71 - 2021-01-06517Peoria Rivermen-The Nuuk Vikings-
72 - 2021-01-07530Henderson Silver Knights-Peoria Rivermen-
76 - 2021-01-11554Peoria Rivermen-Bridgeport Sound Tigers-
77 - 2021-01-12563Laval Chiefs-Peoria Rivermen-
81 - 2021-01-16590Peoria Rivermen-Grand Rapids Griffins-
82 - 2021-01-17598Roberval Dwarfs-Peoria Rivermen-
86 - 2021-01-21621Peoria Rivermen-Oklahoma City Barons-
87 - 2021-01-22632Joliette Sportif-Peoria Rivermen-
90 - 2021-01-25651Peoria Rivermen-Laval Chiefs-
91 - 2021-01-26665The Nuuk Vikings-Peoria Rivermen-
95 - 2021-01-30692Peoria Rivermen-Connecticut Whale-
96 - 2021-01-31698Roberval Dwarfs-Peoria Rivermen-
99 - 2021-02-03722Peoria Rivermen-Charlotte Checkers-
100 - 2021-02-04730San Antonio Rampage-Peoria Rivermen-
102 - 2021-02-06751Peoria Rivermen-Norfolk Admirals-
104 - 2021-02-08764Oklahoma City Barons-Peoria Rivermen-
108 - 2021-02-12786Peoria Rivermen-Albany Devils-
109 - 2021-02-13798Trois-Rivières Draveurs-Peoria Rivermen-
112 - 2021-02-16819Peoria Rivermen-Wilkes-Barre/Scranton Penguins-
113 - 2021-02-17830Providence Bruins-Peoria Rivermen-
116 - 2021-02-20848Peoria Rivermen-Lake Erie Monsters-
118 - 2021-02-22859Peoria Rivermen-Springfield Falcons-
119 - 2021-02-23866Chicoutimi Saguenéens-Peoria Rivermen-
122 - 2021-02-26894Peoria Rivermen-Henderson Silver Knights-
123 - 2021-02-27898Rochester Americans-Peoria Rivermen-
126 - 2021-03-02925Peoria Rivermen-Rockford IceHogs-
127 - 2021-03-03931Mercer Island Hafgufa-Peoria Rivermen-
131 - 2021-03-07962The Nuuk Vikings-Peoria Rivermen-
134 - 2021-03-10988Peoria Rivermen-Grand Rapids Griffins-
136 - 2021-03-12994Peoria Rivermen-Henderson Silver Knights-
137 - 2021-03-131000Springfield Falcons-Peoria Rivermen-
140 - 2021-03-161025Peoria Rivermen-Mercer Island Hafgufa-
141 - 2021-03-171030Rockford IceHogs-Peoria Rivermen-
144 - 2021-03-201051Peoria Rivermen-Joliette Sportif-
145 - 2021-03-211061Houston Aeros-Peoria Rivermen-
148 - 2021-03-241082Peoria Rivermen-Rouyn-Noranda Huskies-
150 - 2021-03-261093Peoria Rivermen-Las Vegas Gamblers-
151 - 2021-03-271102Manitoba Moose-Peoria Rivermen-
154 - 2021-03-301126Peoria Rivermen-Las Vegas Gamblers-
155 - 2021-03-311131Oklahoma City Barons-Peoria Rivermen-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
157 - 2021-04-021142Peoria Rivermen-Joliette Sportif-
160 - 2021-04-051161Peoria Rivermen-Chicago Wolves-
161 - 2021-04-061168Rockford IceHogs-Peoria Rivermen-
165 - 2021-04-101196Charlotte Checkers-Peoria Rivermen-
166 - 2021-04-111207Peoria Rivermen-Lake Erie Monsters-
167 - 2021-04-121215Peoria Rivermen-Rouyn-Noranda Huskies-
170 - 2021-04-151231Springfield Falcons-Peoria Rivermen-
171 - 2021-04-161234Peoria Rivermen-San Antonio Rampage-
172 - 2021-04-171242Peoria Rivermen-Milwaukee Admirals-
179 - 2021-04-241279Gatineau Olympiques-Peoria Rivermen-
183 - 2021-04-281299Mercer Island Hafgufa-Peoria Rivermen-
186 - 2021-05-011313Peoria Rivermen-Milwaukee Admirals-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets650500
Assistance2,4871,208
Assistance PCT10.36%10.07%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
28 308 - 10.26% 185,046$2,220,550$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,015,001$ 2,437,500$ 2,437,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
12,965$ 615,206$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
5,181,283$ 138 20,944$ 2,890,272$




LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT